We use CAE as a first stage of our pipeline. For this purpose, we compare the feature extraction quality of a basic CAE implementation (BAE1) with six convolutional layershttps://blog.keras.io/building-autoencoders-in-keras.html, our own simplified version of the implementation mentioned above with four convolutional layers (BAE2) and the architecture suggested by MVTec [1]} with sixteen convolutional layers.https://github.com/cheapthrillandwine/Improving_Unsupervised_Defect_Segmentation
